
The California Housing dataset contains the 1990 California census information. The goal of this dataset is to predict the median values of houses in given California districts. https://www.kaggle.com/datasets/camnugent/california-housing-prices

The Insurance dataset contains personal health information. The goal of this dataset is to predict individual medical costs billed by health insurance. https://www.kaggle.com/datasets/mirichoi0218/insurance

The House Prices dataset contains housing information such as location and the total number of rooms. The goal of this dataset is to predict the sale prices of each house. https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques

The Bikeshare dataset contains the counts of rental bikes with the corresponding weather and seasonal features. https://archive.ics.uci.edu/ml/datasets/bike+ sharing+dataset

The Year dataset contains the features of songs ranging from 1922 to 2011. The goal of this dataset is to predict the release year of a song. https://archive.ics.uci.edu/ml/datasets/yearpredictionmsd

The FICO dataset contains information from customers who requested credit lines. The goal of this dataset is to predict whether consumers who opened credit accounts have been past due for more than 90 days in the last 24 months. https://community.fico.com/s/explainable-machine-learning-challenge

The Credit dataset contains completely de-identified features. The goal of this dataset is to detect credit fraud. Please see the original work [1]}.

The Support2 dataset contains patients information from study to understand prognoses preferences outcomes and risks of treatment. https://biostat.app.vumc.org/wiki/Main/SupportDesc

The MIMIC III and MIMIC IV datasets are large-scale datasets containing a variety of hospital information, such as hospitalization and prescription information. Although there are many sub-tasks in this dataset, we focus on mortality prediction [2]}, [3]}.

The COMPAS dataset contains personal and criminal information. The goal of this dataset is to predict whether the criminal risks are low or high. We set the target value to 0 if text_score is Low and 1 if text_score is Medium or High as same as the original work. https://github.com/propublica/compas-analysis

The Click dataset contains advertising information. The goal of this dataset is to predict whether a user clicks an ad or not. We extracted positive and negative samples 500K as same as the previous work, respectively [4]}. https://www.kaggle.com/c/kddcup2012-track2

